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Updated: Nov 14, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
High Throughput Sequencing for the Detection and Characterization of RNA Viruses
Amy H Fitzpatrick1,2,3, Agnieszka Rupnik2, Helen O'Shea3
1Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland.
Abstract:
This review aims to assess and recommend approaches for targeted and agnostic High Throughput Sequencing of RNA viruses in a variety of sample matrices. HTS also referred to as deep sequencing, next generation sequencing and third generation sequencing; has much to offer to the field of environmental virology as its increased sequencing depth circumvents issues with cloning environmental isolates for Sanger sequencing. That said however, it is important to consider the challenges and biases that method choice can impart to sequencing results. Here, methodology choices from RNA extraction, reverse transcription to library preparation are compared based on their impact on the detection or characterization of RNA viruses.
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